1
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Di Sandro A, Moore TM, Zoupou E, Kennedy KP, Lopez KC, Ruparel K, Njokweni LJ, Rush S, Daryoush T, Franco O, Gorgone A, Savino A, Didier P, Wolf DH, Calkins ME, Cobb Scott J, Gur RE, Gur RC. Validation of the cognitive section of the Penn computerized adaptive test for neurocognitive and clinical psychopathology assessment (CAT-CCNB). Brain Cogn 2024; 174:106117. [PMID: 38128447 PMCID: PMC10799332 DOI: 10.1016/j.bandc.2023.106117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The Penn Computerized Neurocognitive Battery is an efficient tool for assessing brain-behavior domains, and its efficiency was augmented via computerized adaptive testing (CAT). This battery requires validation in a separate sample to establish psychometric properties. METHODS In a mixed community/clinical sample of N = 307 18-to-35-year-olds, we tested the relationships of the CAT tests with the full-form tests. We compared discriminability among recruitment groups (psychosis, mood, control) and examined how their scores relate to demographics. CAT-Full relationships were evaluated based on a minimum inter-test correlation of 0.70 or an inter-test correlation within at least 0.10 of the full-form correlation with a previous administration of the full battery. Differences in criterion relationships were tested via mixed models. RESULTS Most tests (15/17) met the minimum criteria for replacing the full-form with the updated CAT version (mean r = 0.67; range = 0.53-0.80) when compared to relationships of the full-forms with previous administrations of the full-forms (mean r = 0.68; range = 0.50-0.85). Most (16/17) CAT-based relationships with diagnostics and other validity criteria were indistinguishable (interaction p > 0.05) from their full-form counterparts. CONCLUSIONS The updated CNB shows psychometric properties acceptable for research. The full-forms of some tests should be retained due to insufficient time savings to justify the loss in precision.
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Affiliation(s)
- Akira Di Sandro
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA.
| | - Eirini Zoupou
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Kelly P Kennedy
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Katherine C Lopez
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Lucky J Njokweni
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sage Rush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Tarlan Daryoush
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Olivia Franco
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Alesandra Gorgone
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Andrew Savino
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Paige Didier
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - J Cobb Scott
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; VISN4 Mental Illness Research, Education, and Clinical Center at the Philadelphia VA Medical Center, 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Brain Behavior Laboratory, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
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2
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Avgan N, Sutherland HG, Lea RA, Haupt LM, Shum DHK, Griffiths LR. Association Study of a Comprehensive Panel of Neuropeptide-Related Polymorphisms Suggest Potential Roles in Verbal Learning and Memory. Genes (Basel) 2023; 15:30. [PMID: 38254919 PMCID: PMC10815468 DOI: 10.3390/genes15010030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Neuropeptides are mostly expressed in regions of the brain responsible for learning and memory and are centrally involved in cognitive pathways. The majority of neuropeptide research has been performed in animal models; with acknowledged differences between species, more research into the role of neuropeptides in humans is necessary to understand their contribution to higher cognitive function. In this study, we investigated the influence of genetic polymorphisms in neuropeptide genes on verbal learning and memory. Variants in genes encoding neuropeptides and neuropeptide receptors were tested for association with learning and memory measures using the Hopkins Verbal Learning Test-Revised (HVLT-R) in a healthy cohort of individuals (n = 597). The HVLT-R is a widely used task for verbal learning and memory assessment and provides five sub-scores: recall, delay, learning, retention, and discrimination. To determine the effect of candidate variants on learning and memory performance, genetic association analyses were performed for each HVLT-R sub-score with over 1300 genetic variants from 124 neuropeptide and neuropeptide receptor genes, genotyped on Illumina OmniExpress BeadChip arrays. This targeted analysis revealed numerous suggestive associations between HVLT-R test scores and neuropeptide and neuropeptide receptor gene variants; candidates include the SCG5, IGFR1, GALR1, OXTR, CCK, and VIPR1 genes. Further characterization of these genes and their variants will improve our understanding of the genetic contribution to learning and memory and provide insight into the importance of the neuropeptide network in humans.
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Affiliation(s)
- Nesli Avgan
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Heidi G. Sutherland
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Rod A. Lea
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
| | - Larisa M. Haupt
- Stem Cell and Neurogenesis Group, Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia;
- Centre for Biomedical Technologies, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia
- ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Kelvin Grove, QLD 4059, Australia
- Max Planck Queensland Centre for the Materials Science of Extracellular Matrices, Queensland University of Technology (QUT), Kelvin Grove, QLD 4059, Australia
| | - David H. K. Shum
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China;
| | - Lyn R. Griffiths
- Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Queensland University of Technology (QUT), 60 Musk Ave., Kelvin Grove, QLD 4059, Australia; (N.A.); (H.G.S.); (R.A.L.)
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3
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Mollon J, Almasy L, Jacquemont S, Glahn DC. The contribution of copy number variants to psychiatric symptoms and cognitive ability. Mol Psychiatry 2023; 28:1480-1493. [PMID: 36737482 PMCID: PMC10213133 DOI: 10.1038/s41380-023-01978-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 01/18/2023] [Accepted: 01/20/2023] [Indexed: 02/05/2023]
Abstract
Copy number variants (CNVs) are deletions and duplications of DNA sequence. The most frequently studied CNVs, which are described in this review, are recurrent CNVs that occur in the same locations on the genome. These CNVs have been strongly implicated in neurodevelopmental disorders, namely autism spectrum disorder (ASD), intellectual disability (ID), and developmental delay (DD), but also in schizophrenia. More recent work has also shown that CNVs increase risk for other psychiatric disorders, namely, depression, bipolar disorder, and post-traumatic stress disorder. Many of the same CNVs are implicated across all of these disorders, and these neuropsychiatric CNVs are also associated with cognitive ability in the general population, as well as with structural and functional brain alterations. Neuropsychiatric CNVs also show incomplete penetrance, such that carriers do not always develop any psychiatric disorder, and may show only mild symptoms, if any. Variable expressivity, whereby the same CNVs are associated with many different phenotypes of varied severity, also points to highly complex mechanisms underlying disease risk in CNV carriers. Comprehensive and longitudinal phenotyping studies of individual CNVs have provided initial insights into these mechanisms. However, more work is needed to estimate and predict the effect of non-recurrent, ultra-rare CNVs, which also contribute to psychiatric and cognitive outcomes. Moreover, delineating the broader phenotypic landscape of neuropsychiatric CNVs in both clinical and general population cohorts may also offer important mechanistic insights.
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Affiliation(s)
- Josephine Mollon
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Laura Almasy
- Department of Genetics, Perelman School of Medicine, Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, USA
| | - Sebastien Jacquemont
- Department of Pediatrics, Université de Montréal, Montreal, QC, Canada
- Center Hospitalier Universitaire Sainte-Justine Research Center, Montreal, QC, Canada
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, CT, USA
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4
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Soo CC, Brandenburg JT, Nebel A, Tollman S, Berkman L, Ramsay M, Choudhury A. Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community. Commun Biol 2023; 6:328. [PMID: 36973338 PMCID: PMC10043003 DOI: 10.1038/s42003-023-04636-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/28/2023] [Indexed: 03/29/2023] Open
Abstract
Cognitive function is an indicator for global physical and mental health, and cognitive impairment has been associated with poorer life outcomes and earlier mortality. A standard cognition test, adapted to a rural-dwelling African community, and the Oxford Cognition Screen-Plus were used to capture cognitive performance as five continuous traits (total cognition score, verbal episodic memory, executive function, language, and visuospatial ability) for 2,246 adults in this population of South Africans. A novel common variant, rs73485231, reached genome-wide significance for association with episodic memory using data for ~14 million markers imputed from the H3Africa genotyping array data. Window-based replication of previously implicated variants and regions of interest support the discovery of African-specific associated variants despite the small population size and low allele frequency. This African genome-wide association study identifies suggestive associations with general cognition and domain-specific cognitive pathways and lays the groundwork for further genomic studies on cognition in Africa.
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Affiliation(s)
- Cassandra C Soo
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Almut Nebel
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Stephen Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lisa Berkman
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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5
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Falkenreck JM, Kunkler MC, Ophey A, Weigert H, Friese A, Jahr P, Nelles G, Kalbe E, Polidori MC. Effects of the Multicomponent Cognitive Training Program BrainProtect in Cognitively Healthy Adults: A Randomized Controlled Trial. J Alzheimers Dis 2023; 94:1013-1034. [PMID: 37393493 DOI: 10.3233/jad-220619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023]
Abstract
BACKGROUND Cognitive integrity is a fundamental driver of health. The exact structure of strategies against cognitive impairment is still under debate. OBJECTIVE To compare the short-term effects of a multicomponent cognitive training (BrainProtect) with those of general health counseling (GHC) on cognitive abilities and health-related quality of life (HRQoL) in healthy adults in Germany. METHODS In this parallel randomized controlled trial (RCT), 132 eligible cognitively healthy adults (age ≥50 years, Beck Depression Inventory ≤9/63; Montreal Cognitive Assessment ≥26/30) were randomized to either GHC (N = 72) or to intervention with BrainProtect (intervention group, IG; N = 60). IG participants received 8 weekly sessions of 90 min of the group-based BrainProtect program focusing on executive functions, concentration, learning, perception, and imagination, plus nutritional and physical exercise units. Before and after intervention, all participants underwent neuropsychological testing and HRQoL evaluation, blinded for pretest. RESULTS No significant training effect was observed for the primary endpoint of global cognition as assessed by CERAD-Plus-z Total Score (p = 0.113; ηp2 = 0.023). Improvements in several cognitive subtests were shown in the IG (N = 53) compared to the GHC (N = 62) without adverse events. Differences reached significance for verbal fluency (p = 0.021), visual memory (p = 0.013), visuo-constructive functions (p = 0.034), and HRQoL (p = 0.009). Significance was lost after adjustment, though several changes were clinically relevant. CONCLUSION BrainProtect did not significantly impact global cognition in this RCT. Nevertheless, the results of some outcomes indicate clinically meaningful changes, so that a strengthening of the cognitive performance by BrainProtect cannot be excluded. Further studies with larger sample size are needed to confirm these findings.
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Affiliation(s)
- Julia Maria Falkenreck
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Michelle Celine Kunkler
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Anja Ophey
- Department of Medical Psychology ∣ Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Hannah Weigert
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | | | | | | | - Elke Kalbe
- Department of Medical Psychology ∣ Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - M Cristina Polidori
- Ageing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- CECAD, University of cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
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6
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Ciobanu LG, Stankov L, Schubert KO, Amare AT, Jawahar MC, Lawrence-Wood E, Mills NT, Knight M, Clark SR, Aidman E. General intelligence and executive functioning are overlapping but separable at genetic and molecular pathway levels: An analytical review of existing GWAS findings. PLoS One 2022; 17:e0272368. [PMID: 36251633 PMCID: PMC9576059 DOI: 10.1371/journal.pone.0272368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 07/18/2022] [Indexed: 11/05/2022] Open
Abstract
Understanding the genomic architecture and molecular mechanisms of cognitive functioning in healthy individuals is critical for developing tailored interventions to enhance cognitive functioning, as well as for identifying targets for treating impaired cognition. There has been substantial progress in uncovering the genetic composition of the general cognitive ability (g). However, there is an ongoing debate whether executive functioning (EF)–another key predictor of cognitive health and performance, is separable from general g. To provide an analytical review on existing findings on genetic influences on the relationship between g and EF, we re-analysed a subset of genome-wide association studies (GWAS) from the GWAS catalogue that used measures of g and EF as outcomes in non-clinical populations. We identified two sets of single nucleotide polymorphisms (SNPs) associated with g (1,372 SNPs across 12 studies), and EF (300 SNPs across 5 studies) at p<5x10-6. A comparative analysis of GWAS-identified g and EF SNPs in high linkage disequilibrium (LD), followed by pathway enrichment analyses suggest that g and EF are overlapping but separable at genetic variant and molecular pathway levels, however more evidence is required to characterize the genetic overlap/distinction between the two constructs. While not without limitations, these findings may have implications for navigating further research towards translatable genetic findings for cognitive remediation, enhancement, and augmentation.
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Affiliation(s)
- Liliana G. Ciobanu
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- * E-mail:
| | - Lazar Stankov
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | - K. Oliver Schubert
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Northern Adelaide Mental Health Services, Adelaide, SA, Australia
| | - Azmeraw T. Amare
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Frailty and Healthy Ageing, University of Adelaide, Adelaide, Australia
| | | | | | - Natalie T. Mills
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - Matthew Knight
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
- Weapons and Combat Systems Division, Defence Science & Technology Group, Edinburgh, SA, Australia
| | - Scott R. Clark
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - Eugene Aidman
- School of Psychology, The University of Sydney, Sydney, NSW, Australia
- School of Biomedical Sciences & Pharmacy, University of Newcastle, Callaghan, NSW, Australia
- Land Division, Defence Science & Technology Group, Edinburgh, SA, Australia
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7
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Ninomiya T, Noritake A, Tatsumoto S, Go Y, Isoda M. Cognitive genomics of learning delay and low level of social performance monitoring in macaque. Sci Rep 2022; 12:16539. [PMID: 36192455 PMCID: PMC9529886 DOI: 10.1038/s41598-022-20948-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 09/21/2022] [Indexed: 11/29/2022] Open
Abstract
Cognitive skills and the underlying neural architecture are under the influence of genetics. Cognitive genomics research explores the triadic relationship between genes, brain, and cognition, with its major strategy being genotype-driven. Here we show that an inverse strategy is feasible to identify novel candidate genes for particular neuro-cognitive phenotypes in macaques. Two monkeys, originally involved in separate psychological studies, exhibited learning delay and low levels of social performance monitoring. In one monkey, mirror neurons were fewer compared to controls and mu suppression was absent in the frontal cortex. The other monkey showed heightened visual responsiveness in both frontal cortex and dopamine-rich midbrain, with a lack of inter-areal synchronization. Exome analyses revealed that the two monkeys were most likely cousins and shared variants in MAP2, APOC1, and potentially HTR2C. This phenotype-driven strategy in cognitive genomics provides a useful means to clarify the genetic basis of phenotypic variation and develop macaque models of neuropsychiatric disorders.
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Affiliation(s)
- Taihei Ninomiya
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan
| | - Atsushi Noritake
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan
| | - Shoji Tatsumoto
- Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, 444-8585, Japan
| | - Yasuhiro Go
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan.,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan.,Cognitive Genomics Research Group, Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Okazaki, 444-8585, Japan
| | - Masaki Isoda
- Division of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, 444-8585, Japan. .,Department of Physiological Sciences, School of Life Science, The Graduate University for Advanced Studies (SOKENDAI), Hayama, 240-0193, Japan.
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8
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Gao Y, Felsky D, Reyes-Dumeyer D, Sariya S, Rentería MA, Ma Y, Klein HU, Cosentino S, De Jager PL, Bennett DA, Brickman AM, Schellenberg GD, Mayeux R, Barral S. Integration of GWAS and brain transcriptomic analyses in a multiethnic sample of 35,245 older adults identifies DCDC2 gene as predictor of episodic memory maintenance. Alzheimers Dement 2022; 18:1797-1811. [PMID: 34873813 PMCID: PMC9170841 DOI: 10.1002/alz.12524] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 10/03/2021] [Accepted: 10/12/2021] [Indexed: 01/28/2023]
Abstract
Identifying genes underlying memory function will help characterize cognitively resilient and high-risk declining subpopulations contributing to precision medicine strategies. We estimated episodic memory trajectories in 35,245 ethnically diverse older adults representing eight independent cohorts. We conducted apolipoprotein E (APOE)-stratified genome-wide association study (GWAS) analyses and combined individual cohorts' results via meta-analysis. Three independent transcriptomics datasets were used to further interpret GWAS signals. We identified DCDC2 gene significantly associated with episodic memory (Pmeta = 3.3 x 10-8 ) among non-carriers of APOE ε4 (N = 24,941). Brain transcriptomics revealed an association between episodic memory maintenance and (1) increased dorsolateral prefrontal cortex DCDC2 expression (P = 3.8 x 10-4 ) and (2) lower burden of pathological Alzheimer's disease (AD) hallmarks (paired helical fragment tau P = .003, and amyloid beta load P = .008). Additional transcriptomics results comparing AD and cognitively healthy brain samples showed a downregulation of DCDC2 levels in superior temporal gyrus (P = .007) and inferior frontal gyrus (P = .013). Our work identified DCDC2 gene as a novel predictor of memory maintenance.
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Affiliation(s)
- Yizhe Gao
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction
and Mental Health, Toronto, ON, Canada.,Department of Psychiatry & Institute of Medical
Science, University of Toronto, Toronto, ON, Canada
| | - Dolly Reyes-Dumeyer
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,G.H. Sergievsky Center, Vagelos College of Physicians and
Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | - Sanjeev Sariya
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA
| | - Miguel Arce Rentería
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | - Yiyi Ma
- Center for Translational & Computational
Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center,
New York, NY, 10032, USA
| | - Hans-Ulrich Klein
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,Center for Translational & Computational
Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center,
New York, NY, 10032, USA
| | - Stephanie Cosentino
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,G.H. Sergievsky Center, Vagelos College of Physicians and
Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | - Philip L. De Jager
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,Center for Translational & Computational
Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center,
New York, NY, 10032, USA.,Cell Circuits Program, Broad Institute, Cambridge, MA,
USA
| | - David A. Bennett
- Rush University Medical Center, Rush Alzheimer’s
Disease Center, Chicago, IL, USA.,Rush University Medical Center, Department of Neurological
Sciences, Chicago, IL, USA
| | - Adam M. Brickman
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,G.H. Sergievsky Center, Vagelos College of Physicians and
Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | - Gerard D. Schellenberg
- Department of Pathology and Laboratory Medicine,
University of Pennsylvania, Philadelphia, PA, USA
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,G.H. Sergievsky Center, Vagelos College of Physicians and
Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | - Sandra Barral
- Taub Institute for Research on Alzheimer’s Disease
and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia
University, New York, NY, USA.,G.H. Sergievsky Center, Vagelos College of Physicians and
Surgeons, Columbia University, New York, NY, USA.,Department of Neurology, Vagelos College of Physicians and
Surgeons, New York-Presbyterian Hospital, Columbia University Medical Center, New
York, NY, USA
| | -
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA
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9
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Abstract
The Research Domain Criteria (RDoC) project constitutes a translational framework for
psychopathology research, initiated by the National Institute of Mental Health in an
attempt to provide new avenues for research to circumvent problems emerging from the
use of symptom-based diagnostic categories in diagnosing disorders. The RDoC
alternative is a focus on psychopathology based on dimensions simultaneously defined
by observable behavior (including quantitative measures of cognitive or affective
behavior) and neurobiological measures. Key features of the RDoC framework include an
emphasis on functional dimensions that range from normal to abnormal, integration of
multiple measures in study designs (which can foster computational approaches), and
high priority on studies of neurodevelopment and environmental influences (and their
interaction) that can contribute to advances in understanding the etiology of
disorders throughout the lifespan. The paper highlights key implications for ways in
which RDoC can contribute to future ideas about classification, as well as some of
the considerations involved in translating basic behavioral and neuroscience data to
psychopathology.
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10
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Mollon J, Knowles EEM, Mathias SR, Gur R, Peralta JM, Weiner DJ, Robinson EB, Gur RE, Blangero J, Almasy L, Glahn DC. Genetic influence on cognitive development between childhood and adulthood. Mol Psychiatry 2021; 26:656-65. [PMID: 30644433 DOI: 10.1038/s41380-018-0277-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 08/15/2018] [Accepted: 09/11/2018] [Indexed: 12/17/2022]
Abstract
Successful cognitive development between childhood and adulthood has important consequences for future mental and physical wellbeing, as well as occupational and financial success. Therefore, delineating the genetic influences underlying changes in cognitive abilities during this developmental period will provide important insights into the biological mechanisms that govern both typical and atypical maturation. Using data from the Philadelphia Neurodevelopmental Cohort (PNC), a large population-based sample of individuals aged 8 to 21 years old (n = 6634), we used an empirical relatedness matrix to establish the heritability of general and specific cognitive functions and determine if genetic factors influence cognitive maturation (i.e., Gene × Age interactions) between childhood and early adulthood. We found that neurocognitive measures across childhood and early adulthood were significantly heritable. Moreover, genetic variance on general cognitive ability, or g, increased significantly between childhood and early adulthood. Finally, we did not find evidence for decay in genetic correlation on neurocognition throughout childhood and adulthood, suggesting that the same genetic factors underlie cognition at different ages throughout this developmental period. Establishing significant Gene × Age interactions in neurocognitive functions across childhood and early adulthood is a necessary first step in identifying genes that influence cognitive development, rather than genes that influence cognition per se. Moreover, since aberrant cognitive development confers risk for several psychiatric disorders, further examination of these Gene × Age interactions may provide important insights into their etiology.
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11
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Doucet GE, Moser DA, Rodrigue A, Bassett DS, Glahn DC, Frangou S. Person-Based Brain Morphometric Similarity is Heritable and Correlates With Biological Features. Cereb Cortex 2020; 29:852-862. [PMID: 30462205 PMCID: PMC6319174 DOI: 10.1093/cercor/bhy287] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/25/2018] [Indexed: 11/29/2022] Open
Abstract
The characterization of the functional significance of interindividual variation in brain morphometry is a core aim of cognitive neuroscience. Prior research has focused on interindividual variation at the level of regional brain measures thus overlooking the fact that each individual brain is a person-specific ensemble of interdependent regions. To expand this line of inquiry we introduce the person-based similarity index (PBSI) for brain morphometry. The conceptual unit of the PBSI is the individual person’s brain structural profile which considers all relevant morphometric measures as features of a single vector. In 2 independent cohorts (total of 1756 healthy participants), we demonstrate the foundational validity of this approach by affirming that the PBSI scores for subcortical volume and cortical thickness in healthy individuals differ between men and women, are heritable, and robust to variation in neuroimaging parameters, sample composition, and regional brain morphometry. Moreover, the PBSI scores correlate with age, body mass index, and fluid intelligence. Collectively, these results suggest that the person-based measures of brain morphometry are biologically and functionally meaningful and have the potential to advance the study of human variation in multivariate brain imaging phenotypes in healthy and clinical populations.
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Affiliation(s)
- Gaelle E Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dominik A Moser
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amanda Rodrigue
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.,Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.,Department of Physics & Astronomy, University of Pennsylvania, Philadelphia, PA, USA.,Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Olin Neuropsychiatric Institute, Institute of Living, Hartford Hospital, Hartford, CT, USA
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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12
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Lee WH, Rodrigue A, Glahn DC, Bassett DS, Frangou S. Heritability and Cognitive Relevance of Structural Brain Controllability. Cereb Cortex 2019; 30:3044-3054. [PMID: 31838501 PMCID: PMC7197079 DOI: 10.1093/cercor/bhz293] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/20/2019] [Accepted: 10/30/2019] [Indexed: 01/09/2023] Open
Abstract
Cognition and behavior are thought to emerge from the connections and interactions among brain regions. The precise nature of these relationships remains elusive. Here we use tools provided by network control theory to determine how the structural connectivity profile of brain regions may shape individual variation in cognition. In a cohort of healthy young adults (n = 1066), we computed two fundamental brain regional control patterns, average and modal controllability, which index the degree of influence of a region over others. We first established that regional brain controllability measures were both reproducible and heritable. Regions with controllability profiles theoretically conducive to facilitating multiple cognitive operations were over-represented in higher-order resting-state networks. Finally, variation in regional controllability accounted for about 50% of interindividual variability in multiple cognitive domains. We conclude that controllability is a biologically plausible property of the structural connectome and provides a mechanistic explanation for how brain structural architecture may influence cognitive functions.
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Affiliation(s)
- Won Hee Lee
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Amanda Rodrigue
- Tommy Fuss Center for Neuropsychiatric Disease Research, Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David C Glahn
- Tommy Fuss Center for Neuropsychiatric Disease Research, Department of Psychiatry, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Danielle S Bassett
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Electrical and Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Physics and Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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